IQRF helps solve roads overload near Škoda Auto
29 May 2018
Škoda Auto employs more than 8,000 people in three shifts and most of them travel by cars there. Some of them use buses, part is motivated by the employer to use bikes, but most of them still use cars. Surrounding villages - Kvasiny, Solnice, and Ještětice are extremely overloaded by employees transport and unwanted parking. There is no suitable place for the construction of parking lots in the area.
CITIQ has installed traffic flow detectors in adjacent villages to monitor both the traffic flow and the length and speed of vehicles. These data can be used to analyze traffic on roads in these municipalities. The electromagnetic field detectors are embedded in the roadway to sense all necessary data. Sensors are battery powered, and because the data is transmitted by the IQRF, ultra-low power technology, sensors work for many years. It is not necessary to dig out the sensors earlier than after 10 years. Thanks to IQRF, it is also possible to update the software wirelessly if needed. Two-way 20 kbps communication works well for this purpose.
All data are centrally collected into a cloud application where they are available for further analysis as well. They are displayed in a GIS application where comprehensive road usage information can be obtained in up to five minutes time slots.
To simplify transport on existing car parks, information signs showing actual occupancy should help, thus avoiding the confused entry and exit of cars that have not found a parking space. The parking signs in the car park near the car factory also obtain data on occupancy from EM detectors installed under parking spaces. These information help drivers to park easily and prevent the search for a parking space where it is no longer available.
To get information on the occupancy of about 2100 parking spaces, it was not necessary to install the parking sensor to all places, but the company solved it by a combination of traffic flow and parking sensors, with "big data" processing logic over these data. Traffic engineering data is available for the local municipality for a long time.
